Ching‐Lin Shih
Impact in
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- Psychometric Methodologies and Testing
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
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- Psychometric Methodologies and Testing 10
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- Advanced Statistical Modeling Techniques 9
- Co-authors
- Wen‐Chung Wang (6 shared papers)Ching‐Lin Hsieh (6 shared papers)Hsueh‐Hua Chuang (2 shared papers)Ching‐Fan Sheu (2 shared papers)Sheng K. Wu (1 shared paper)Mark Wilson (1 shared paper)Chien‐Hung Chen (1 shared paper)Hui‐Chu Lang (1 shared paper)
In The Last Decade
Ching‐Lin Shih
22 papers receiving 495 citations
Peers
Comparison fields: 5 of 93
- Management Science and Operations Research 182
- Rehabilitation 64
- Statistics and Probability 63
- Physical Therapy, Sports Therapy and Rehabilitation 29
- Developmental and Educational Psychology 69
Countries citing papers authored by Ching‐Lin Shih
This map shows the geographic impact of Ching‐Lin Shih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ching‐Lin Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Lin Shih more than expected).
Fields of papers citing papers by Ching‐Lin Shih
This network shows the impact of papers produced by Ching‐Lin Shih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ching‐Lin Shih. The network helps show where Ching‐Lin Shih may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Lin Shih, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 76 | |
| 2 | 2012 | 55 | |
| 3 | 2009 | 51 | |
| 4 | 2010 | 50 | |
| 5 | 2010 | 44 | |
| 6 | 2013 | 39 | |
| 7 | 2012 | 32 | |
| 8 | 2012 | 30 | |
| 9 | 2006 | 27 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2013 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2020 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 2 |
About Ching‐Lin Shih
Ching‐Lin Shih is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Experimental and Cognitive Psychology, Psychiatry and Mental health and Rehabilitation, having authored 23 papers that have together received 513 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (9 papers), Cerebral Palsy and Movement Disorders (4 papers), Stroke Rehabilitation and Recovery (3 papers), Cognitive Abilities and Testing (3 papers), Advanced Statistical Methods and Models (2 papers), Balance, Gait, and Falls Prevention (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Management Science and Operations Research (182 citations), Rehabilitation (64 citations), Statistics and Probability (63 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations) and Developmental and Educational Psychology (69 citations). Ching‐Lin Shih has collaborated with scholars based in Taiwan, Hong Kong and Canada. Frequent co-authors include Wen‐Chung Wang, Ching‐Lin Hsieh, Hsueh‐Hua Chuang, Ching‐Fan Sheu, Sheng K. Wu, Mark Wilson, Chien‐Hung Chen, Hui‐Chu Lang, Kuan‐Lin Chen and Jyun‐Hong Chen. Their work appears in journals such as Applied Psychological Measurement, Educational and Psychological Measurement, Archives of Physical Medicine and Rehabilitation, Value in Health and Child Abuse & Neglect.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.